Principal Software Engineer - Power BI
at Microsoft
Posted 20 hours ago
No clicks
- Compensation
- $139,900 – $274,800 USD
- City
- San Francisco, New York City
- Country
- United States
Currency: $ (USD)
Principal Software Engineer on the Power BI Core AI team, focused on building AI-first capabilities to make enterprise data more accessible and governable. You will design and implement secure, scalable end-to-end systems spanning web clients, cloud services, and LLM-based agent integration, and drive architecture decisions with cross-functional partners. The role involves partnering with Applied Science, product management, and UX to shape AI-enabled analytics at scale, while improving resiliency, observability, and security. Mentors other engineers and advocates AI-native architectural patterns and best practices.
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization.
The Power BI Core AI team is looking to hire a Principal Software Engineer, building AI-first capabilities that make enterprise data more accessible, governed, and useful to both human users and AI agents. You will design systems that bridge the gap between how data is stored and how it needs to be understood, transforming complex data assets into intelligent, programmatically consumable experiences. You will build Agentic AI experiences. As part of an agile team, you would work closely with engineers to deliver end-to-end solutions spanning web clients, cloud services, and LLM-based agent integration. Partnering with Applied Science, product management, and UX design, you'll have the opportunity to work across the full product stack and shape how AI transforms enterprise analytics at scale.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
Responsibilities
- Set technical strategy for large-scale, AI-first services aligning architecture decisions to agent accuracy, enterprise adoption, and customer outcomes.
- Write secure, performant, well-tested code across web clients and service-side components integrating with LLM-based agents; raise engineering standards through design reviews and thoughtful code reviews.
- Lead architecture and design for complex systems spanning semantic abstraction, API surfaces (REST, MCP, SDK), agentic tooling, and self-improving feedback loops. Validate options with specs, prototypes, and data.
- Improve resiliency, security, reliability, latency, and cost using observability and operational practices; act as DRI for key services and drive durable fixes.
- Unblock cross-team dependencies across Power BI, Fabric, Azure AI, and partner teams; manage risks and land integrated, production-ready solutions at scale.
- Mentor and grow other engineers across the organization share best practices in AI-native architecture, distributed systems, and semantic layer design patterns.
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Ability to lead technical strategy across ambiguous AI problem spaces and influence multi team engineering decisions.
- 1+ years of experience working with Large Language Models (LLMs) and Generative AI.
- Expertise building or operating large scale platforms and systems that support AI quality, safety, reliability, or experimentation with observability, diagnosability, and operational excellence for AI driven workloads.
- Experience with distributed systems architecture, multi tenant cloud services, and high availability backend engineering.
- Proven track record mentoring other engineers and raising the technical bar through design leadership, reviews, and hands on guidance.
- Ability to navigate ambiguity, deliver in an agile environment, adopt new technologies, and collaborate effectively across teams.
#azuredata, #powerbi
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
